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Course Description This course covers advanced techniques for managing, searching, and mining of various types of data such as text, web links, images, time series, video, and audio. Issues related to handling such data will be discussed, including feature selection, high dimensional indexing, interactive search and information retrieval, pattern discovery, and scalability. Instructor Office:
Engineering Building, Room 4419 Classes Thursday Prerequisite INFS 755 or CS 659 (previously CS 750) or equivalent data mining course, or permission of instructor. Some programming skills required. Textbooks Required You will be given reading materials during the class. Optional Data Mining: Concepts and Techniques, 2nd Edition, Morgan Kauffmann Publishers, March 2006. ISBN 1-55860-901-6. Grading Class
Participation: 5% Honor Code Statement Please be familiar with the GMU Honor Code. In addition, the CS department has its own Honor Code policies. Any deviation from this is considered an Honor Code violation. Disability Accommodations If you are a student with a disability and you need academic accommodations, please see me and contact the Office of Disability Services (ODS) at 993-2474, http://ods.gmu.edu. All academic accommodations must be arranged through the ODS. Useful Resources
Tentative Schedule
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